Evidence map›Paper›PMID 41678777›Full record

ReviewHepatology (Baltimore, Md.)2026

Unraveling the tapestry: Lessons from multi-omics and spatial biology in hepatocellular cancer.

Dawiyat Massoudi, Ankit Srivastava, Renumathy Dhanasekaran

Abstract readReview
In one paragraph

Review in Hepatology (Baltimore, Md.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Dawiyat MassoudiDivision of Gastroenterology and Hepatology, Stanford University, California, USA.ORCID 0000-0001-6326-8723
Renumathy DhanasekaranORCID 0000-0001-8819-7511

Funding

Dysregulated Complement Pathway in Macrophage Reprogramming and Progression of HCC in MASHR37CA296642 · NCI · STANFORD UNIVERSITY · PI Renumathy Dhanasekaran · 2025 to 2026
$1.2M
NCI NIH HHS R37 CA296642
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is a biologically and clinically heterogeneous cancer in which the spatial organization of the tumor microenvironment dictates progression, immune escape, and therapeutic response. Traditional genomic and transcriptomic profiling have revealed key molecular pathways, yet they do not capture the spatial relationships that govern tumor-immune-stromal interactions. Spatial omics technologies now bridge this gap, allowing molecular profiling within intact tissue architecture and revealing how cellular neighborhoods, immune barriers, and stromal niches shape tumor behavior. In this review, we summarize recent advances in technologies like spatial transcriptomics, proteomics, genomics, epigenomics, and metabolomics as applied to HCC. We discuss how these technologies have illuminated the spatial dynamics of the invasive margin, macrophage and fibroblast niches, and immune evasion, identifying both prognostic and predictive biomarkers. We further highlight how spatially resolved analyses have uncovered previously unrecognized axes of communication between cancer cells and key stromal and parenchymal populations that were not apparent from bulk or single-cell molecular analyses alone. These spatially mapped ligand-receptor networks reveal coordinated signaling circuits that define targetable mechanisms of resistance and progression within the microenvironment. Finally, we explore the translational implications where spatial signatures may guide risk stratification, treatment selection, and clinical trial design. By integrating spatial architecture with molecular function, spatial omics is transforming our understanding of liver cancer biology and paving the way for spatially informed precision oncology.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsBiomarkers, TumorGenomicsHumansMultiomicsProteomicsSpatial TranscriptomicsTumor MicroenvironmentBiomarkers, Tumorbiomarkerscancergenomicshepatocellular carcinomaimmunespatial

Identifiers

PMID41678777
PMCPMC13629517

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.